2025年3月21日 · NIMs are categorized by model family and a per model basis. For example, NVIDIA NIM for large language models (LLMs) brings the power of state-of-the-art LLMs to …

2025年3月21日 · Certain downloadable NIMs can be used on an RTX Windows system with Windows System for Linux (WSL). To enable WSL2, perform the following steps. Be sure your …

These select models have additional OpenAI API spec details for running self-hosted localized NIMs. LLM NIM containers include: Optimized LLM model; APIs conforming to OpenAI spec; …

The Large Language Model (LLM) NIM API endpoints provide simple access to use natural language based generative AI. This single API endpoint provides access to top models for use …

2025年3月21日 · The NIM on Azure Machine Learning (AzureML) deployment guide provides step-by-step instructions for deploying AzureML using Azure CLI and Jupyter Notebook. The …

NIM Anywhere contains all the tooling required to start integrating NIMs for RAG. It natively scales out to full-sized labs and up to production environments. This is great news for building a RAG …

6 天之前 · NIM provides prepackaged, state-of-the-art AI models that are optimized for deployment across NVIDIA GPUs. The NIM microservice is packaged as a container to self …

2024年8月14日 · NVIDIA TensorRT-LLM optimizes model performance by leveraging parameters such as GPU count and batch size. With NIM, enterprises can have these parameters …

AnythingLLM will present you with a simple to use UI to install and manage NIM containers if you select the NVIDIA NIM LLM provider and are on a compatible operating system. Once the …

2024年10月2日 · Deploying LLMs in enterprise environments requires a secure and well-structured approach to machine learning (ML) infrastructure, development, and deployment. …